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Working Group on Model-Based Clustering Summer Session: Perugia, July 16-22, 2017

The 24th Summer Working Group on Model-Based Clustering will be held in Perugia (Italy) from July 16 to July 22, 2017. It will start with an opening social event on Sunday July 16, sessions in the mornings Monday-Friday July 17-21, and a hike on Saturday July 22. The organizing committee this year consists of Charles Bouveyron, Gilles Celeux, Brendan Murphy, Adrian Raftery and Luca Scrucca.


The sessions will be at the Dipartimento di Giurisprudenza (room #7) of the UniversitÓ degli Studi di Perugia, and accomodation will be available close to the campus. Accommodation and travel details are available here.


Working Group Sessions: Monday-Friday, July 17-21, 2017

Day Time Speaker Title

Monday (G. Celeux)
9:00-10:20 Mathias Drton, University of Washington The singular BIC and its application to selection of Gaussian mixture models

10:40-12:00 Christian Hennig, University College London Estimating the number of clusters in robust model-based clustering by an adequacy and approximation approach

Tuesday (A. Raftery)
9:00-10:20 Francesco Bartolucci, UniversitÓ di Perugia Stochastic block models for cross-sectional and longitudinal data: some methodological advances

10:40-10:55 Geoff McLachlan, University of Queensland A Parallel EM Algorithm for Fitting Mixtures of Skew Normal/t-distributions

11:00-11:15 Brendan Murphy, University College Dublin Handling missing data in model-based clustering

11:20-11:35 Marco Alf˛, UniversitÓ di Roma La Sapienza Endogeneity in longitudinal data modelling: a finite mixture based solution

11:40-11:55 Dimitris Karlis, Athens University of Economics and Business Model based clustering for discrete valued time series.

14:00-16:00 Poster session

Wednesday (B. Murphy)
9:00-10:20 Pierre Latouche, UniversitÚ Paris 1 The Dynamic Stochastic Topic Block Model

10:40-10:55 Adrian Raftery, University of Washington Adaptive Incremental Mixture MCMC

11:00-11:15 Tanzy Love, University of Rochester Mixed-membership topic models for text on a social network

11:20-11:35 Ricardo Rastelli, University College Dublin Choosing the number of groups in a latent stochastic block model for dynamic networks

11:40-11:55 Charles Bouveyron, UniversitÚ Paris Descartes The HDMI model for usupervised image denoising

14:00-16:00 Software session

Thursday (C. Bouveyron)
9:00-10:20 Andrea Rau, INRA Model-based clustering to identify co-expressed genes from high-throughput sequencing data

10:40-10:55 Luca Scrucca, UniversitÓ degli Studi di Perugia Boosting Gaussian Mixture Models for Classification

11:00-11:15 Francesca Greselin, UniversitÓ degli Studi di Milano New developments on robust estimation for mixtures

11:20-11:35 Pierre-Alexandre Mattei, UniversitÚ Paris Descartes Sparse and Interpretable Clustering with Mixtures of Globally Sparse PPCA

11:40-11:55 Gilles Celeux, INRIA Assessing model-based clustering methods with cytometry data sets

Friday (L. Scrucca)
9:00-10:20 Sylvia Richardson, MRC, University of Cambridge Semi supervised clustering: benefits and challenges.

10:40-12:00 Cinzia Viroli, UniversitÓ di Bologna Classification by quantiles

Last updated May 18th, 2017